Joseph

12 Dec, 2020

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Career Opportunities in Artificial Intelligence

Big Data Engineer
A Big Data Engineer designs an ecosystem through which business systems can interact effectively. The major role of a Big Data Engineer would be to build and efficiently manage big data for an organization. Their key responsibility includes ensuring that the solutions developed for processing and storing data are robust and scalable. Big Data Engineers are also charged with the obligation of acquiring actionable results from large datasets by applying knowledge of data management and analytics.

Big Data Engineer is also among the highly paid jobs. The average earnings of a Big Data Engineer is ₹895,560 per annum, definitely in the upper stratum of salaries amongst all AI careers. This can be taken as an indication that there is huge demand for professionals skilled in handling big data and extracting useful insights.

Business Intelligence Developer


Business intelligence developers, however, are more responsible for considering business acumen with AI. Different business trends have been recognized by considering complicated data sets. This is so done with the help of gaining simulated data that has been fed beforehand to the AI and obtaining concrete results out of it. In this way, it will help provide them with brand recognition and brand awareness in a much more robust technique. They help in swelling the profits of a company by preparing, developing, and nourishing business intelligence solutions.

Business profitability and efficiency are the two significant factors of development considered by them. They also assist in optimizing different processes and workflow across the organization. Their demands have intensified recently due to their capabilities in dealing with complicated data of cloud-based platforms.

This brings a keen insight into the original standpoint of the business. This will leave room for improvement and help them understand what the remedies required are to be made for an appropriate business model.

Machine Learning Engineer


Machine Learning is reportedly a subset of Artificial Intelligence. It trains with the various data that has been fed and provides proper results. Therefore, machine learning engineers are involved in developing and maintaining self-running software that can enable various machine learning initiatives. They are in great demand by companies and seldom out of a job. They work with huge chunks of data and possess extraordinary data management traits.

They work in the areas of image and speech recognition, prevention of frauds, customer insights, and management of risks. The machine learning engineer should have a stronghold in applying predictive models dealing with magnificent data. Proper programming, computing, and mathematics are needed to be successful as a Machine Learning Engineer. The average salary of a Machine Learning Engineer will be around ₹10.2 Lakhs.

Research Scientist


Research scientists do efforts in performing extensive research dealing with applications in machine learning and machine intelligence. A research scientist is one who has gained expertise in the field of applied mathematics, statistics, deep learning, and machine learning. The average salary of a Research Scientist is ₹9.1 Lakhs.

Applicants must hold a Ph.D. degree or an advanced master's degree in mathematics or computer science. A research scientist is a highly paid job, and the institutions recruit only those people who have good experience in their AI career. Significant knowledge of NLP and reinforcement learning is needed at the time of applying for the role.